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检索条件"任意字段=5th IEEE International Conference on Distributed Computing in Sensor Systems"

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Impact Analysis of distributed DoS Attack by Multiple HTs in TCMP Architectures 5

Impact Analysis of Distributed DoS Attack by Multiple HTs in...

引用

5th international conference on Control, Communication and computing, ICCC 2023

作者： Philomina, Josna James, Rekha K Das, Shirshendu Vishwanathan, Daleesha M CUSAT School of Engineering Kerala India Indian Institute of Technology Punjab Ropar India

ISBN: (纸本)9798350334128

Tiled Chip Multicore Processors (TCMP) with packet switching Network-on-Chip (NoC) have become a common method for on-chip connectivity. the performance of the entire system may suffer if a malicious Hardware Trojan (HT) is present in the NoC routers as it might negatively disrupt communication between tiles. Detecting Trojans in complicated multi-processor System on Chips (SoCs) using traditional pre and post silicon validation approaches is a huge difficulty. In this paper the presence of multiple HTs in the routing unit is modelled and its impact analysis is done for both synthetic traffic and real benchmarks using gem5 simulator. It can be observed that the presence of multiple trojans decrease the overall performance of the system. © 2023 ieee.

关键词： Network-on-chip

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Vision-based Ergonomic and Fatigue Analyses for Advanced Manufacturing 5

Vision-based Ergonomic and Fatigue Analyses for Advanced Man...

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ieee 5th international conference on Industrial Cyber-Physical systems (ICPS)

作者： Kunz, Manuela Shu, Chang Picard, Michel Vera, Daniel Hopkinson, Peter Xi, Pengcheng Natl Res Council Canada Digital Technol Res Ctr Ottawa ON Canada Univ Warwick Warwick Mfg Grp Coventry W Midlands England Fully Distributed Syst Ltd Loughborough Leics England

ISBN: (纸本)9781665497701

In advanced manufacturing, ergonomic risk assessment and fatigue analysis ensure not only the health of human operators, but also the productivity and quality of the manufacturing process. In this paper we investigate a vision-based method for automatic ergonomic and fatigue risk monitoring, based on a cost-efficient 3D camera system and AI-driven video-based approaches for 3D body posture analysis and repetition counting. Our laboratory trials showed that this method was able to track joint motions with an average accuracy of 3.5 degrees, performed comparable to a human operator when assessing the ergonomic risk, and was able to track and focus on repetitive motions of the human operator. the proposed method supports data visualization, real-time ergonomic and fatigue analyses, and report generation, and has the potential to support the development of better manufacturing environments.

关键词： Computer vision ergonomics fatigue advanced manufacturing machine learning 3D skeleton tracking

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Survivability Assessment of a DG-enabled Power Distribution System through Network Reconfiguration 5

Survivability Assessment of a DG-enabled Power Distribution ...

引用

5th international conference on Energy, Power, and Environment, ICEPE 2023

作者： Choudhury, Debarghya Bose, Dipanjan Chanda, Chandan Kumar Indian Institute of Engineering Science and Technology Shibpur Department of Electrical Engineering Howrah India

ISBN: (纸本)9798350313123

the topology of network reconfiguration is being widely used in electrical power distribution systems for many years now. this restructuring of the network provides an efficient solution to reduce the power loss and improve the overall voltage profile of the system significantly while requiring not much investment cost. this further improves the survivability of the power network. In this paper, a 10-bus power distribution network has been considered to analyze its survivability under several loading conditions. distributed Generations (DGs) also play an important role to improve system survivability. this power grid survivability or resiliency with distributed Generation (DG) included at specific buses has been also analyzed in this paper by evaluating a survivability index of the system. Lesser the survivability index, more will be the survivability of the system under any contingency (like fault, overloading etc.). the optimum network configuration with best survivability at a particular loading has been also determined here. A simulation load-flow is conducted in ETAP software for survivability assessment of a 10-bus power network. © 2023 ieee.

关键词： distributed power generation

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Efficient. Scalable and Robust Data Shuffle Service for distributed MapReduce computing on Cloud 24

Efficient. Scalable and Robust Data Shuffle Service for Dist...

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24th ieee international conference on High Performance computing and Communications, 8th ieee international conference on Data Science and systems, 20th ieee international conference on Smart City and 8th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Application, HPCC/DSS/SmartCity/DependSys 2022

作者： Gu, Rong Huang, Xu Dai, Haipeng Geng, Xiaoyu Chen, Xiaofei Huang, Yihua Xiao, Fu Chen, Guihai Nanjing University State Key Laboratory for Novel Software Technology Nanjing China Nanjing University of Posts and Telecommunications Nanjing China

ISBN: (纸本)9798350319934

distributed Map Reduce computing frameworks, such as Hadoop, Spark, and Flink, are widely used in various domains which face big data challenges. Inside Map Reduce, Shuffle is a critical stage that bridges up the Map stage and Reduce stage through data partition and network transmission under the hood. With the rapidly growing scale of data and clusters, the all-to-all data transfer in Shuffle becomes inefficient and frequently fails, making Shuffle the bottleneck of many big data processing jobs. To improve the Shuffle efficiency, we propose a hybrid Shuffle model based on file pre-merging and partition reorganization mechanisms. To address the Shuf-fle stability issue, we design a novel data transmission model based on the replication mechanism. Finally, to support scalable Shuffle with high performance, we present a Shuffle parallelism degree tuning approach based on machine learning and searching techniques. We have implemented the proposed Shuffle models and strategies into the widely-used MapReduce-based big data platform Spark for evaluation. Experimental evaluation shows that, compared with the state-of-the-art systems, our proposed methods outperform them by 23% on average. As a practical application case, the proposed Shuffle service has been running in the real-world environment of ByteDance. Inc over one year with significant performance improvement. © 2022 ieee.

关键词： Data transfer

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t-path Based Reliable and Real-time Routing in Battery-Free Wireless sensor Network 23

t-path Based Reliable and Real-time Routing in Battery-Free ...

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23rd ieee international conference on High Performance computing and Communications, 7th ieee international conference on Data Science and systems, 19th ieee international conference on Smart City and 7th ieee international conference on Dependability in sensor, Cloud and Big Data systems and Applications, HPCC-DSS-SmartCity-DependSys 2021

作者： Chen, Kunyi Gao, Hong Cheng, Siyao Chen, Quan Li, Jianzhong Harbin Institute of Technology China Guangdong University of Technology China

ISBN: (纸本)9781665494571

Wireless sensor Networks are deployed to sense data from the physical world and transmit these data to the server(s). To reduce the maintenance cost of replacing batteries, Energy-Harvesting nodes are developed which can get recharged from Solar Power, Radio Frequency, and other environmental energy resources. We term the network consist of energy-harvesting nodes as Battery-Free WSNs (BF-WSNs). Environmental energy is inherently time-varying and exhibits a high degree of heterogeneity. these features bring challenges to routing design. In this paper, we focus on the reliability and real-time issues and propose an opportunistic strategy as time synchronization is hard and expensive to reach in BF-WSN. We first model BF-WSNs as a directed weighted multigraph and propose a novel definition called t-path to describe the time-varying availability feature of BF-nodes. Further, we show that the problem is NP-Hard. We present a centralized approximate algorithm and prove that the ratio bound is 2 under two conditions. this paper also presents a distributed algorithm. Comprehensive simulations have been performed to evaluate the performance of the proposed algorithms and the results show that the efficiency of our algorithms. © 2021 ieee.

关键词： Wireless sensor networks Simulation Reliability theory Approximation algorithms Routing Reliability engineering Real-time systems

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Energy-Efficient Data Collection and Trajectory Design for UAV-Enabled Wireless sensor Network 5

Energy-Efficient Data Collection and Trajectory Design for U...

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5th ieee international conference on Electronics Technology, ICET 2022

作者： Zhang, Shanxin Cao, Runyu Jiang, Zefeng Jiangnan University School of Internet of Things Engineering Wuxi China Jiangnan University School of Artificial Intelligence and Computing Wuxi China

ISBN: (纸本)9781665485081

In wireless sensor networks (WSNs), unmanned aerial vehicles (UAV) has become an effective data collection technology, but the large amount of energy consumption generated in the data collection process seriously reduces the life of the wireless sensor network. Aiming at the problem of high energy consumption in the data collection process of wireless sensor networks, an energy-efficient data collection strategy based on sensor nodes (SNs) wake-up scheduling and UAV trajectory design is designed. Based on this scheme, a problem of minimizing the weighted energy consumption of UAV and SNs is constructed. this problem is described as a mixed integer non-convex programming problem, which is usually difficult to solve. Aiming at this problem, a joint optimization algorithm based on path discretization and successive convex approximation is proposed to obtain a local optimal solution that satisfies the KKT condition. Experimental results show that our proposed scheme can achieve significant network energy saving, and can achieve a flexible trade-off between the energy consumption of UAV and SNs. © 2022 ieee.

关键词： Convex optimization

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Optimal Trajectory Planning and Task Assignment for UAV-assisted Fog computing 24

Optimal Trajectory Planning and Task Assignment for UAV-assi...

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作者： Liu, Shuaijun Yin, Jiaying Zeng, Zishu Wu, Jingjin BNU-HKBU United International College Department of Statistics and Data Science Zhuhai519087 China The University of Hong Kong Li Ka Shing Faculty of Medicine Pokfulam Hong Kong School of Engineering The Hong Kong University of Science and Technology Kowloon Hong Kong Guangdong Provincial Key Laboratory of Interdisciplinary Research and Application for Data Science China

ISBN: (纸本)9798350319934

Fog computing is an emerging distributed computing model for the realization of the Internet of things (IoT). It extends computing and caching functions to the edge of wireless networks. Unmanned Aerial Vehicles (UAVs) provide effective support for fog computing, as UAVs can not only act as a relay between mobile users and physically remote edge devices to avoid costly long-range wireless communications, but also are equipped with computing facilities that can take over certain tasks. In this paper, we aim to optimize the energy efficiency of a fog computing system assisted by a single UAV, by planning the trajectories of the UAV and assigning computing tasks to different devices including the UAV itself. We propose two algorithms based on the classical Ant Colony and Particle Swarm Optimization techniques, and solve the problem by continuous convex approximation. Different from most existing studies where the trajectories are assumed to be straight lines, we account for the effect of obstacles, such as buildings, and deliberately avoid them during the trajectory planning phase. We demonstrate, through extensive simulation experiments, that our proposed approach can achieve significantly better energy efficiency compared to existing benchmark algorithms. © 2022 ieee.

关键词： Fog computing

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On Dynamics of Communication-Based distributed Consensus Control in Islanded Microgrids 5

On Dynamics of Communication-Based Distributed Consensus Con...

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5th international conference on Smart Energy systems and Technologies (SEST)

作者： Sowa, Igor Monti, Antonello Rhein Westfal TH Aachen Inst Automat Complex Power Syst Aachen Germany Fraunhofer FIT Aachen Germany

ISBN: (数字)9781665405577

ISBN: (纸本)9781665405577

the paper focuses on dynamics of islanded microgrids where communication-based distributed consensus control is a primary controller and it is supported by measurements from fast-reporting phasor measurement unit devices. With its objective of power sharing and voltage control, the distributed consensus control substitutes the classical primary control based on droop and does not require secondary control. the system dynamics are analyzed through cyber-physical (CP) model that includes electrical, communicationbased consensus and control equations from both physical and cyber layers. the CP model enables analysis of dynamics in islanded microgrid with an arbitrary electrical and communication structures under conditions of large disturbances.

关键词： microgrid power sharing grid forming inverter grid feeding inverter voltage control

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Simulation of Bare Coreless Silica Fiber sensor for Humidity Sensing 5

Simulation of Bare Coreless Silica Fiber Sensor for Humidity...

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5th international conference on Smart sensors and Application, ICSSA 2024

作者： Velusamy, Athi Shankhara Noor, Muhammad Yusof Mohd Ahmad, Fauzan Universiti Teknologi Malaysia Kuala Lumpur Kuala Lumpur54100 Malaysia Faculty of Electrical Engineering Universiti Teknologi Malaysia Johor Bahru81310 Malaysia

ISBN: (纸本)9798350354294

Coreless silica fiber (CSF) has attracted significant interest for its application in humidity sensing, particularly when utilizing hygroscopic thin films or coatings as humidity-sensitive materials. However, the inherent limitations of these materials complicate the fabrication process of CSF-based humidity sensors, leading to increased costs and introducing substantial cross-sensitivity to temperature. In response, this paper introduces a simulation of a bare CSF design aimed at humidity sensing. We evaluated the sensor's performance by simulating various humidity levels through adjustments in the analyte's refractive index, ranging from 1.000 RIU (0 %RH) to 1.333 RIU (100 %RH). the results indicate that the bare or uncoated CSF design successfully detects humidity changes (1.00 to 1.333 RI), achieving a sensitivity of 1.319 x 10-9 RIU per unit of RI change and demonstrating strong linearity with an R2 value of 0.9468. Additionally, decreasing the diameter of the CSF significantly increases the sensor's sensitivity. these results lay the groundwork for future experimental work on fiber humidity sensors. Moreover, the insights gained from this study may develop smart sensors integrated with IoT systems for real-time environmental monitoring. Such advancements hold promise for enhancing the efficiency and responsiveness of agricultural management and industrial automation systems. © 2024 ieee.

关键词： Humidity sensors

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Research on Voltage Reactive Power Regulation Method of Distribution Network under distributed Power Structure 5

Research on Voltage Reactive Power Regulation Method of Dist...

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5th international Academic Exchange conference on Science and Technology Innovation, IAECST 2023

作者： Wang, Duo Li, Zhengwen Li, Zhongwei Zhao, Long Wang, Chong Shi, Jingning State Grid Liaoning Electric Power Supply Co. Ltd. Liaoning Shenyang China State Grid Liaoning Electric Power Supply Co. Ltd. State Grid Jinzhou Electric Power Supply Company Liaoning Jinzhou China

ISBN: (纸本)9798350357738

the rapid penetration of renewable energy has led to the large-scale application of distributed generation (DG) in urban and rural distribution grids. the introduction of DG has changed the structure and operation of distribution grids, and in particular, fluctuating distributed power sources have posed challenges to reactive power and voltage control. In this study, a dual-objective extended reactive power optimization model is proposed for the reactive voltage problem of distribution networks containing photovoltaic (PV) and storage complementary power generation (SSP) systems with the starting point of reducing the network loss and lowering the risk of voltage overruns. the model fully utilizes the reactive power regulation of PV inverters and the active regulation capability of energy storage devices. the non-dominated sorted bi-objective optimization genetic algorithm with elite strategy (NSGA-II) is applied to find the non-inferior Pareto Front, and the optimal compromise solution is obtained based on fuzzy set theory. this method achieves a centralized optimal control of reactive voltage in MV distribution networks containing distributed PV. this research provides a powerful methodology and practice for solving the challenges of distributed power sources on grid control. © 2023 ieee.

关键词： Reactive power

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